Abstract
Most countries have implemented lockdowns as the main non-pharmaceutical intervention in response to the global Covid-19 pandemic. Such actions have resulted in negative economic impacts on different sectors, which include manufacturing and processing industry. This concern has led to the need to develop post-lockdown “exit strategies” to mitigate the adverse socio-economic impacts. In this work, a systematic approach is developed to quantify the criticality of economic sectors based on a sector criticality index (SCI) and rank them based on their importance relative to the entire national economy. SCI is a weighted composite score based on five criteria which capture relevant dimensions in judging the importance of sectors: economic impact, connectivity, sector size, income multiplier, and employment. The input-output model is then used to evaluate the interaction amongst the economic sectors. The use of the proposed approach is illustrated with a case study focusing on evaluating the impact on oleo-chemical industries and associated agro-industrial sectors in Malaysia.
Original language | English |
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Journal | Journal of the Taiwan Institute of Chemical Engineers |
Early online date | 8 Jul 2021 |
DOIs | |
Publication status | E-pub ahead of print - 8 Jul 2021 |
Keywords
- Best-worst method
- Covid-19 pandemic
- Input-output analysis
- Sector criticality index
ASJC Scopus subject areas
- Chemistry(all)
- Chemical Engineering(all)